Landschapskaarten naar periode en diepte voor archeologisch gebruik in Holoceen-afgedekte delen van Nederland
Bibliographic record
Abstract
Dit is een actualisatie (V2; productie 2020-2021) van een landelijk dekkend digitaal kaartbestand (T0123.shp) van Holocene begraven landschappen, voor gebruik door archeologische professionals. De eerdere versie (V1; productie 2014-2017) functioneerde sinds 2018 in RCE-data portalen (Rijksdienst Cultureel Erfgoed; Bronnen en Kaarten: Kaart-viewer: Buried Landscapes; Thematische viewer Landgebruik in Lagen). De kartering bestrijkt vier archeologisch relevante tijdsneden (T0 t/m T3; samen 12,000 voor Chr. tot 900 na Chr. bestrijkend): vier perioden van natuurlijke landschapsontwikkeling tot aan de grootschalige ontginningen van de kustvlakte (voor het landschap uit die jongste 1100 jaar wordt op RCE's Archeologische Landschappenkaart aangesloten, die in 2019 was herzien). De kartering verwerkte daartoe bestaande digitale geologische kaartbestanden zoals die door de partijen Universiteit Utrecht (UU), TNO en Deltares zijn aangelegd en worden onderhouden. De in 2014-2017 ontwikkelde geautomatiseerde wijze van productie is in 2020-2021 andermaal doorlopen, met geactualiseerde uitgangs-bestanden. Net als bij V1 (2017), bevat de dataset bevat de GIS Begraven Landschappenkaart als GIS bestanden (digitaal eindproduct), het geactualiseerde vervaardigingsrapport (Cohen & Pierik 2021) en kopieën van de uitgangs-bestanden (digitaal bron-materiaal, geactualiseerd 2016-2021), en bestanden die de gevolgde workflow digitaal vastlegden (ArcGIS ToolSet.MBX met data-combinatie modellen: scripted-workflow). De legenda-opzet is ongewijzigd t.o.v. van V1 (Zie Cohen 2017 in de V1 dataset). De gebiedsindeling is zeewaarts (12-mijlszone; memo Hijma en Van Onselen 2021) en landinwaarts (Holoceen Maasdal Limburg) uitgebreid. Anders dan in V1 werden de paleo-hoogtebestanden niet geactualiseerd. == This dataset is an actualisation (V2; produced 2020-2021) of a digital map (T0123.shp) of national coverage on Holocene Buried Landscapes, for use by archaeological professionals. The previous version (V1; produced 2014-2017) functioned since 2018 in The Netherlands' cultural heritage agency (RCE) data portals (www.cultureelerfgoed.nl section Bronnen en Kaarten; Map viewer: Buried Landscapes; Thematic viewerLandgebruik in Lagen). The map products cover four time slices, following an archaeological division scheme (T0 t/m T3; together stretching 12,000 BCE to 900 CE). They cover natural landscape evolution up to Medieval phases of extensive coastal and delta plain reclamation and reorganization (the landscape resulting from the last 1100 years is mapped as part of RCE's Archeologische Landschappenkaart, actualised in 2019). The mapping made use of existing digital geological dataset as maintained at Utrecht University (UU), TNO - Geological Survey of the Netherlands (TNO-GDN), and Deltares. An automated production method (developed in 2014-2017) was reran, taking in updated source mapping products. The data set contains the GIS data that stores the maps (the end product), an actualised version of the documentation of the production work flow (PDF 01 Cohen & Pierik 2021), copies of the ruling versions of the input digital map data (source data, actualised 2016-2021), and files that store the work flow digitally (ArcGIS ToolSet.MBX with processing-models: the scripted workflow). The legend setup is unchanged to that of V1 (03_Cohen 2017 and 05_Cohen et al. 2017 in there). Extent and areal partitioning of the study area was enlarged in seawards (12-mile territorial waters; PDF 03 memo Hijma en Van Onselen 2021) and landwards (Holocene Meuse valley Limburg).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".